Hemanth M.

Key Skills

Software

Other

Top Subject Matter

Software engineering and mathematics (LLM evaluation, coding/reasoning tutoring).

Prompt engineering and LLM response quality training (coding and reasoning).

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Classification

Freelancer Overview

AI Trainer / AI Model Evaluator — Outlier AI (Remote). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Doctor of Philosophy, Indian Institute of Information Technology, Sri City (2022) and Master of Science, University of Hyderabad (2017). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

AI Trainer / AI Model Evaluator — Outlier AI (Remote)

OtherPrompt + Response Writing (SFT)

Evaluated and improved AI-generated responses for coding, reasoning, and technical problem-solving tasks. Designed prompts, rubrics, and evaluation frameworks to benchmark large language models on software engineering and mathematics topics. Reviewed model-generated code for correctness, instruction following, edge-case handling, code quality, and robustness. • Assessed responses using structured criteria (rubrics/frameworks). • Performed error analysis and failure identification to guide training. • Contributed to prompt engineering and response ranking workflows. • Focused on quality analysis of LLM outputs for technical domains.

2020 - Present

Machine Learning Engineer - Quantivera Systems

TextClassification

Built machine learning pipelines for classification, regression, and NLP tasks using Python and common ML frameworks. Applied mathematical and statistical techniques to model optimization, feature engineering, and preprocessing workflows. Developed predictive systems and intelligent automation modules for business applications, supporting end-to-end model evaluation and tuning. • Implemented training and inference ML pipelines • Performed error analysis and hyperparameter tuning • Applied feature engineering and preprocessing • Ensured deployment readiness through evaluation.

2018 - 2021

Education

Work History